Fixing issue where generic model types wouldn't load properly with the pipeline (#18392)
* Adding a better error message when the model is improperly configured
within transformers.
* Update src/transformers/pipelines/__init__.py
* Black version.
* Overriding task aliases so that tokenizer+feature_extractor
values are correct.
* Fixing task aliases by overriding their names early
* X.
* Fixing feature-extraction.
* black again.
* Normalizing `translation` too.
* Fixing last few corner cases.
translation need to use its non normalized name (translation_XX_to_YY,
so that the task_specific_params are correctly overloaded).
This can be removed and cleaned up in a later PR.
`speech-encode-decoder` actually REQUIRES to pass a `tokenizer` manually
so the error needs to be discarded when the `tokenizer` is already
there.
* doc-builder fix.
* Fixing the real issue.
* Removing dead code.
* Do not import the actual config classes.